Job Purpose And Impact

The Cloud Security Engineer will contribute to strengthening the security foundation for Cargill's modern cloud-based applications and platforms. In this role, you will apply cybersecurity and cloud security engineering expertise to secure, operate, and scale Infrastructure as a Service (IaaS) and Platform as a Service (PaaS) environments across AWS and Azure.

You will contribute to security design, adopt automation-first approaches, and help ensure security is embedded by design into cloud platforms and engineering workflows. You will also leverage AI-assisted engineering practices to improve cloud security operations, engineering productivity, and delivery efficiency.

Key Accountabilities

Design, implement, and maintain the security and resiliency of enterprise-grade cloud services in support of Cargill's mission.
Implement and operate cloud security solutions across AWS and Azure.
Develop and automate security policies, controls, and workflows using Infrastructure as Code, scripting, cloud-native security services, and AI-assisted engineering capabilities.
Partner with Enterprise IT, Cloud platforms, DevSecOps, Software Engineering, and Compliance teams to embed security into cloud architectures, CI/CD pipelines, and migration workflows.
Support cloud security incident investigations, remediation activities, and continuous security improvements.
Contribute to cloud security engineering standards, reusable automation, documentation, and operational best practices.
Continuously identify opportunities to improve cloud security engineering and operations through automation and AI-driven capabilities.

Qualifications

Required Qualifications

Bachelor's degree in a related field or equivalent practical experience.
4–8 years of experience in cloud engineering and cloud security roles.
Strong hands-on experience securing AWS and/or Azure cloud environments.
Experience with cloud security services and platforms, including Cloud IAM, Wiz, or equivalent CSPM tools.
Strong understanding of AWS networking and security constructs, including security groups, network firewalls, and segmentation.
Experience designing and securing container platforms (Kubernetes, EKS, ECS, Docker, etc.).
Strong skills in Infrastructure as Code and automation using Terraform and scripting languages such as Python, Golang, or PowerShell.
Good understanding of DevOps and CI/CD practices, application resiliency, and security-by-design principles.
Ability to analyze cloud security data, metrics, and logs to drive risk reduction and operational improvements.
Demonstrated ability to collaborate effectively across engineering teams and contribute to technical solutions.

Preferred Qualifications

Cloud certifications in AWS, Azure, and/or Google Cloud (Associate, Professional, or Specialty).
Cybersecurity certifications such as CISSP, CCSP, GSEC, CEH, or equivalent.
Experience supporting cloud migrations or enterprise cloud platforms.
Experience using AI-assisted engineering tools (e.g., GitHub Copilot, Amazon Q, ChatGPT Enterprise, Claude, Cursor, etc.) to improve engineering productivity, automation, and software development.
Good understanding of AI security concepts, including AI governance, AI workload security, prompt injection, data protection, and secure AI adoption in enterprise environments.
Demonstrated ability to contribute technical solutions and collaborate across teams without direct authority.

Consultant, Info Security, App, Data, Cloud Security